A stereo-vision system with YOLOv8 and ByteTrack tracks fish caudal fins in 3D to quantify behavioral responses to structures in industrial aquaculture cages.
Superglue: Learning feature matching with graph neural networks
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AV1 motion vectors filtered by cosine consistency yield dense sub-pixel correspondences that support structure-from-motion on short video clips with lower CPU cost and higher match density than sequential SIFT.
Presents Instant3D for rapid text/image-to-3D generation via multi-view diffusion plus feed-forward reconstruction, and FastMap for 10x faster structure-from-motion with comparable accuracy.
citing papers explorer
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A Novel Computer Vision Approach for Assessing Fish Responses to Intrusive Objects in Aquaculture
A stereo-vision system with YOLOv8 and ByteTrack tracks fish caudal fins in 3D to quantify behavioral responses to structures in industrial aquaculture cages.
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Leveraging AV1 motion vectors for Fast and Dense Feature Matching
AV1 motion vectors filtered by cosine consistency yield dense sub-pixel correspondences that support structure-from-motion on short video clips with lower CPU cost and higher match density than sequential SIFT.
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Efficient 3D Content Reconstruction and Generation
Presents Instant3D for rapid text/image-to-3D generation via multi-view diffusion plus feed-forward reconstruction, and FastMap for 10x faster structure-from-motion with comparable accuracy.